LEADER 05212nam 22006015 450 001 9910983378703321 005 20241202135033.0 010 $a9783031781049 010 $a303178104X 024 7 $a10.1007/978-3-031-78104-9 035 $a(MiAaPQ)EBC31810939 035 $a(Au-PeEL)EBL31810939 035 $a(CKB)36738887500041 035 $a(DE-He213)978-3-031-78104-9 035 $a(EXLCZ)9936738887500041 100 $a20241202d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPattern Recognition $e27th International Conference, ICPR 2024, Kolkata, India, December 1?5, 2024, Proceedings, Part XXVIII /$fedited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (501 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15328 311 08$a9783031781032 311 08$a3031781031 327 $aOptimizing Personalized Robot Actions with Ranking of Trajectories -- Synthesizing operationally safe controllers for human-in-the-loop human-in-the-plant hybrid close loop systems -- Multi-Frequency Fine-Grained Matching for Audio-Visual Segmentation -- Confidence-Guided Feature Alignment for Cloth-Changing Person Re-identification -- Fair Latent Representation Learning with Adaptive Reweighing -- FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features -- One-factor Cancelable Biometric Template Protection Scheme for Real-valued Features -- Multi-Teacher Invariance Distillation for Domain-Generalized Action Recognition -- ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity Recognition -- Spatio-Temporal Domain-Aware Network for Skeleton-based Action Representation Learning -- Project and Pool: An Action Localization network for localizing actions in Untrimmed Videos -- Multi-Teacher Importance Preserving Knowledge Distillation for Early Violence Prediction -- Improving Temporal Action Segmentation and Detection with Hierarchical Task Grammar -- Hybrid Human Action Anomaly Detection based on Lightweight GNNs and Machine Learning -- Zero-Shot Spatio-Temporal Action Detection by Enhancing Context-Relation Capability of Vision-Language Models -- Nonlinear progressive denoising: a universal regularized denoising strategy for low PSNR images -- Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement -- Composite Concept Extraction through Backdooring -- Guided SAM: Label-Efficient Part Segmentation -- Multidimensional Cross-Reconstructed Networks for Few-Shot Fine-Grained Image Classification -- Symmetric masking strategy enhances the performance of Masked Image Modeling -- Multiplicative RMSprop using gradient normalization for learning acceleration -- TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings -- Evidential Federated Learning for Skin Lesion Image Classification -- Adaptive Text Feature Updating for Visual-Language Tracking -- TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction -- Principal Graph Neighborhood Aggregation for Underwater Moving Object Detection -- Dynamic Loss Decay based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels -- Environment-Independent Fusion for Robust Object Detection in Adverse Environments -- Transformer-based RGB and LiDAR Fusion for Enhanced Object Detection. 330 $aThe multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1?5, 2024. The 963 papers presented in these proceedings were carefully reviewed and selected from a total of 2106 submissions. They deal with topics such as Pattern Recognition; Artificial Intelligence; Machine Learning; Computer Vision; Robot Vision; Machine Vision; Image Processing; Speech Processing; Signal Processing; Video Processing; Biometrics; Human-Computer Interaction (HCI); Document Analysis; Document Recognition; Biomedical Imaging; Bioinformatics. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15328 606 $aComputer vision 606 $aMachine learning 606 $aComputer Vision 606 $aMachine Learning 615 0$aComputer vision. 615 0$aMachine learning. 615 14$aComputer Vision. 615 24$aMachine Learning. 676 $a006.37 700 $aAntonacopoulos$b Apostolos$0885419 701 $aChaudhuri$b Subhasis$0846530 701 $aChellappa$b Rama$0491442 701 $aLiu$b Cheng-Lin$0861045 701 $aBhattacharya$b Saumik$01782600 701 $aPal$b Umapada$01782601 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983378703321 996 $aPattern Recognition$94309011 997 $aUNINA